1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.00
## dh0           1.05       1.13
## dh1           1.06       1.17
## dl0           1.15       1.42
## dl1           1.38       1.91
## dl2           1.12       1.33
## dl3           1.12       1.33
## 
## Multivariate psrf
## 
## 1.3

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.01
## dh0           1.94       3.64
## dh1           1.88       3.50
## dl0           1.27       1.71
## dl1           1.13       1.34
## dl2           1.08       1.22
## dl3           1.04       1.11
## 
## Multivariate psrf
## 
## 1.66

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results